mycpp Code Generation

Measure the speedup from mycpp, and the resource usage.

Source code: oil/mycpp/examples

User Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
fib_iter gen 8 895 0.008
loops gen 3 288 0.010
modules gen 2 170 0.010
fib_recursive gen 11 873 0.012
asdl_generated gen 11 385 0.028
parse gen 27 761 0.035
scoped_resource gen 37 1,031 0.036
containers gen 7 123 0.056
tuple_return_value gen 11 192 0.059
files gen 7 79 0.094
classes gen 3 23 0.143
length gen 40 196 0.205
cartesian gen 82 329 0.249
escape gen 92 347 0.263
gc_stack_roots gen 2 4 0.438
cgi gen 269 506 0.532
varargs gen 21 36 0.572
control_flow gen 160 111 1.438

Max Resident Set Size (MB)

Lower ratios are better. We use MB (powers of 10), not MiB (powers of 2).

example name gen C++ Python C++ : Python
classes gen 4.3 10.6 0.41
gc_stack_roots gen 3.4 7.1 0.48
parse gen 3.7 7.6 0.48
asdl_generated gen 3.4 6.9 0.49
escape gen 3.5 6.9 0.51
loops gen 3.7 7.1 0.52
scoped_resource gen 3.7 7.1 0.52
cartesian gen 3.7 6.9 0.53
cgi gen 3.7 6.9 0.53
control_flow gen 3.7 6.9 0.53
files gen 3.7 6.9 0.53
length gen 3.7 6.9 0.53
modules gen 3.7 6.9 0.53
fib_iter gen 3.8 6.9 0.55
fib_recursive gen 3.8 6.9 0.55
tuple_return_value gen 3.8 6.9 0.55
containers gen 28.5 47.8 0.60
varargs gen 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name gen C++ Python C++ : Python
asdl_generated gen 0 12 0.000
classes gen 0 8 0.000
control_flow gen 0 4 0.000
fib_iter gen 0 8 0.000
fib_recursive gen 0 8 0.000
files gen 0 4 0.000
gc_stack_roots gen 0 8 0.000
loops gen 0 12 0.000
modules gen 0 12 0.000
parse gen 0 12 0.000
length gen 4 12 0.335
containers gen 7 16 0.438
cgi gen 4 8 0.500
tuple_return_value gen 8 8 0.942
scoped_resource gen 8 8 1.023
varargs gen 45 36 1.259
escape gen 16 8 1.993
cartesian gen 4 0 inf

raw benchmark files